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Bright Vision Technologies

60 Bright Vision Technologies Platform Engineer Jobs Hiring Near You

Bright Vision Technologies

Cloud Network Engineer

Troy, MI · Hybrid

$87K - $105K/yr

Cloud Network Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Familiarity with SD-WAN platforms and SASE architectures. * Experience with eBPF-based networking ...

Bright Vision Technologies

AI Data Engineer

Troy, MI · Remote

$80K - $100K/yr

AI Data Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is ...

Bright Vision Technologies

AI Security Engineer

Troy, MI · Remote

$80K - $105K/yr

AI Security Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

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Bright Vision Technologies Jobs Information

What is it like to work at Bright Vision Technologies?

Bright Vision Technologies is a collaborative and innovative company that prioritizes teamwork and open communication, fostering a dynamic work environment where employees can share ideas and contribute to the company's mission.

The company's structure is designed to encourage cross-functional collaboration, with teams working together to develop cutting-edge technologies and solutions. The work environment is modern and well-equipped, with access to the latest tools and resources.

Working at Bright Vision Technologies may appeal to candidates who are passionate about technology and innovation, as the company offers opportunities for professional growth and development in a fast-paced and dynamic industry.

What makes Bright Vision Technologies an attractive place to work?

Bright Vision Technologies is a leading innovator in the field of artificial intelligence and computer vision, recognized for its cutting-edge solutions and commitment to advancing the industry. The company fosters a collaborative and dynamic work environment that encourages creativity, experimentation, and knowledge-sharing among its team members, with a focus on delivering high-quality products and services. By joining Bright Vision Technologies, professionals can contribute to the development of impactful technologies, expand their skill sets, and enjoy opportunities for growth and professional development in a rapidly evolving field.
What other companies are hiring for Platform Engineer jobs?
Infographic showing various Platform Engineer job openings at Bright Vision Technologies in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 83% Physical, and 17% Remote job distribution.

ML Infrastructure Engineer

Bright Vision Technologies

Phoenix, AZ • On-site, Remote

$100K - $150K/yr

Full-time

Posted 6 days ago

Job description

ML Infrastructure Engineer - Remote 
 
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: ML Infrastructure Engineer
Location: 100% Remote (U.S.) 
Position Type: Full-time, Direct W2 
Salary Range: $100,000–$150,000 Annually 
Experience Required: 6+ years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
 
Job Summary 
We are seeking an AI Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers, with strong emphasis on reliability, efficiency, and cost control. The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work. 
Key Responsibilities 
  • Design and operate GPU and accelerator infrastructure for training and inference, spanning on-prem clusters, cloud-managed services, and hybrid configurations. 
  • Build scheduling, queueing, and resource-sharing systems that maximize accelerator utilization across many teams. 
  • Integrate frameworks such as PyTorch, JAX, DeepSpeed, FSDP, Megatron-LM, and Ray Train into a unified platform offering. 
  • Operate high-performance storage systems and data pipelines that keep accelerators fed with training data at near-line-rate. 
  • Design networking architectures supporting RDMA, InfiniBand, NCCL, and high-bandwidth collective communication. 
  • Build observability for AI workloads including utilization, throughput, training stability, and failure-mode analytics. 
  • Implement checkpointing, restart, and fault-tolerance patterns for long-running training jobs at scale. 
  • Drive cost optimization across compute, storage, and networking through scheduling, spot capacity, and right-sizing. 
  • Develop developer tooling and paved-road workflows that let researchers launch experiments safely and efficiently. 
  • Partner with research and applied ML teams to plan capacity for upcoming training runs. 
  • Implement security controls, isolation, and access management for multi-tenant AI infrastructure. 
  • Drive automation across cluster provisioning, lifecycle management, and configuration enforcement. 
  • Maintain runbooks, capacity dashboards, and operational documentation for the AI platform. 
  • Stay current with AI infrastructure research, accelerator hardware, and emerging open-source AI tooling. 
Required Qualifications 
  • Bachelor’s or Master’s degree in Computer Science or a related field. 
  • Six or more years of experience in infrastructure, platform, or HPC engineering. 
  • Hands-on experience operating GPU clusters or large-scale ML training infrastructure. 
  • Strong proficiency in Python and at least one systems language such as Go or C++. 
  • Deep understanding of distributed training, accelerator architectures, and collective communication. 
  • Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads. 
  • Strong understanding of Linux internals, networking, and high-performance storage. 
  • Experience with at least one major cloud provider’s ML infrastructure offerings. 
  • Strong software engineering practices including testing, CI/CD, and code review. 
  • Excellent communication and cross-functional collaboration skills. 
Preferred Qualifications 
  • Experience operating InfiniBand or RDMA networking at scale. 
  • Contributions to open-source ML infrastructure projects. 
  • Familiarity with custom orchestrators or research-grade training stacks. 
  • Exposure to frontier model training operations. 
  • Experience with FinOps for AI workloads. 
How to Apply 
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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